Abstract: Traditional uncertainty optimization methods employ a two-stage paradigm that separates uncertainty estimation from decision-making, often yielding suboptimal solutions. To address this ...
Abstract: The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, ...
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